aertime
12.2K posts

aertime
@AERTIME
glitch / post-digital artist exhibited: art basel • tokyo • paris • nyc • rome • lisbon • shanghai. collect the simulation: https://t.co/jSXTRfDIm1

Clavicular meets his biggest supporter who donated him over 2000 subs ($10,000) on Kick 😳


Clavicular ends and walks out of his Channel 5 interview with Andrew Callaghan after Andrew reveals he’s satisfied with how he looks and doesn’t need looksmaxxing








From an open call featuring artists across 50+ countries and 6 continents, 6 artworks have been selected. Meet the artists showcasing during @legoodsociety ‘s Rotterdam Billboard Exhibition: @irenedantoArt @_ryab666 @metpenfaul @seray_ai @danaAfanego @lucianaguerraok Soon, their work will take over the city. Congratulations 🎊


Kids today will never get to hear Bob Seger belt “Like a Rock” for a 90s Chevy truck commercial. Peak America culture


I'm teaching AI to curate my art, not create it. I have 20 years of raw VHS glitch footage sitting on hard drives. Hundreds of thousands of frames. Somewhere in there are incredible stills — moments where a recognizable subject is visible through the glitch artifacts. Finding them manually would take months. So I'm building a two-phase curation pipeline with Claude Code. Phase 1 is a local Python script that scores every frame on structure and glitch intensity — Claude wrote it, I tune it by reviewing the results and giving feedback. It processes 30 images per second at zero cost and eliminates 90-97% of frames as uninteresting. Phase 2 sends only the survivors to Claude's vision model for final scoring. The key breakthrough was multiplicative scoring: a frame needs BOTH a recognizable subject AND strong glitch artifacts to pass. Took 11 iterations to get here. Each round I'd find a new failure mode — scanlines fooling the filter, dark atmospheric frames getting rejected, abstract color blobs sneaking through — and we'd add a new metric to catch it. Currently processing 300k frames across multiple sources. Targeting over a million for calibration. The frames that survive are going to become a new collection.




















